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Revbump after cairo 1.16.0 update.

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Recursive revbump from hardbuzz-2.1.1

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Didn't need to bump!

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Fix opencv build with PYTHON_VERSION_DEFAULT=37

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Recursive bump for new fribidi dependency in pango.

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graphics/opencv: Update to 3.4.1.

== OpenCV 3.4.1

dnn
- Added support for quantized TensorFlow networks
- OpenCV is now able to use Intel DL inference engine as DNN
  acceleration backend
- Added AVX-512 acceleration to the performance-critical kernels, such
  as convolution and fully-connected layers
- SSD-based models trained and retrained in TensorFlow Object
  Detection API can be easier imported by a single invocation of
  python script making a text graph representation
- Performance of pthreads backend of cv::parallel_for_() has been
  greatly improved on many core machines
- OpenCL backend has been expanded to cover more layers
- Several bugs in various layers have been fixed

OpenCL
- On-disk caching of precompiled OpenCL kernels has been fixed to
  comply with OpenCL standard
- Certain cases with UMat deadlock when copying UMats in different
  threads has been fixed

Android
- Supported Android NDK16
- Added build.gradle into OpenCV 4 Android SDK
- Added initial support of Camera2 API via JavaCamera2View interface

C++
- C++11: added support of multi-dimentional cv::Mat creation via C++
  initializers lists
- C++17: OpenCV source code and tests comply C++17 standard

Misc
- opencv_contrib: added GMS matching
- opencv_contrib: added CSR-DCF tracker
- opencv_contrib: several improvements in OVIS module

== OpenCV 3.4

- New background subtraction algorithms have been integrated.

dnn
- Added faster R-CNN support
- Javascript bindings have been extended to cover DNN module
- DNN has been further accelerated for iGPU using OpenCL

OpenCL
- On-disk caching of precompiled OpenCL kernels has been finally
  implemented
- It's now possible to load and run pre-compiled OpenCL kernels via
  T-API
- Bit-exact 8-bit and 16-bit resize has been implemented

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revbump after x264-devel update

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opencv: follow redirect

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Update graphics/opencv to 3.3.0.
Sync opencv-contrib-face too.

Main changes:

- DNN module from opencv_contrib was promoted to the main repository,
  improved and accelerated it a lot. An external BLAS implementation is
  not needed anymore. For GPU there is experimental DNN acceleration using
  Halide (http://halide-lang.org).
- OpenCV can now be built as C++ 11 library using the flag ENABLE_CXX11.
  Some cool features for C++ 11 programmers have been added.
- We've also enabled quite a few AVX/AVX2 and SSE4.x optimizations in
  the default build of OpenCV thanks to the feature called 'dynamic
  dispatching'. The DNN module also has some AVX/AVX2 optimizations.
- Intel Media SDK can now be utilized by our videoio module to do
  hardware-accelerated video encoding/decoding. MPEG1/2, as well as
  H.264 are supported.
- Embedded into OpenCV Intel IPP subset has been upgraded from 2015.12
  to 2017.2 version, resulting in ~15% speed improvement in our core &
  imgproc perf tests.

Full release notes:

  https://github.com/opencv/opencv/wiki/ChangeLog